~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Hugh Chen~~~~~~~~~~~~~

About Me (hide/show)

2nd year M.S. student studying Statistics at University of Washington. Graduated from University of California, Berkeley with High Distinction in General Scholarship (BA in Computer Science).

Currently doing research related to Computational Health/Biology as a part of Professor Su-In Lee's Lab. I'm interested in machine learning as well as probabilistic modelling for high-impact societal applications.

Curriculum Vitae: Link.

Hobbies: I used to breakdance and hope to get back into it. I like video games, reading, and love listening to music.

Contact: hugh.chen1(at)gmail.com

Projects - Research (hide/show)

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~2017~~~~~~~~~~~~~~~~~~

Gabriel Erion, Hugh Chen, Scott Lundberg and Su-In Lee,"Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning", Workshop paper. NIPS ML4H.

Hugh Chen, Scott Lundberg, Su-In Lee,"Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data", Workshop paper. NIPS ML4H.

Hugh Chen, Scott Lundberg, Su-In Lee. "Checkpoint Ensembles: Ensemble Methods from a Single Training Process". Under Preparation. Paper.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~2016~~~~~~~~~~~~~~~~~~

Hugh Chen, Yusuf B. Erol, Eric Shen, Stuart Russell, "Probabilistic Model-Based Approach for Heart Beat Detection", Physiological Measurement, Vol. 37, No. 9, August 2016. Paper. Code.

Projects - Misc (hide/show)

"Implementation of Nonparametric Methods". Tutorial that implements neural networks and KNN from scratch. Additionally implements gradient boosting trees using only sklearn's decision trees. Tutorial.

"Li and Stephens Model Paper Summary". Explanation of the Li and Stephens model, which has applications in many parts of genetics (haplotype phasing, linkage disequilibrium, recombination rates, etc.). Explanation.

"Influential Factors for Gross Profit in Film". Analyzes rotten tomato and imdb data. Exercise in web scraping, dealing with genre factors, censored data, and linear regression. Poster. Code.

"MAX-SAT Algorithms Survey". Brief discussion of a few MAX-SAT algorithms - fun exploration of approaches for an NP-Hard problem. Survey. Code.

"Recursive Trees". Uses recursion, linear algebra, probability, and trigonometry just to draw trees. Tutorial. Code.

Stochastic tree.

"Computer Graphics Project" Covers rasterization, texture mapping, geometry for meshes, shading, ray tracing, illumination, and cameras (ray tracing and autofocus). Writeup.

"Graduation". Short film I made in High School. Video.

Classes I've enjoyed (hide/show)

Favorite artists (hide/show)